Posted:3 days ago|
Platform:
On-site
Full Time
5-7 years of experience in machine learning engineering, with a significant track record in the
developing production grade models and model pipelines in a regulated industry such as healthcare.
? Hands-on expertise in working with large language models (e.g., GPT, BERT), computer vision
models, and classic NLP technologies.
? Proficient in programming languages such as Python, with extensive experience in ML
libraries/frameworks like TensorFlow, PyTorch, OpenCV, etc.
? Strong understanding of deep learning techniques, model fine-tuning, hyper parameter
optimization, and model optimization
? Proven experience in deploying and managing ML models in production environments.
? Excellent analytical skills, with a problem-solving mindset and the ability to think strategically.
? Strong communication skills for articulating complex concepts to diverse audiences.
? Working knowledge or experience in MLOps and LLMOps using tools like mlflow, kubeflow
? Working knowledge of basic software engineering principles and best practices
? Demonstrated working knowledge and experience on classic ML techniques and frameworks.
? Nice to have : Knowledge of Cloud vendor based ML Platforms such as Azure ML, Sagemaker
Zyoin Group
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